Rahul G. Krishnan
Assistant Professor
Dept. of Computer Science
Dept. of Laboratory Medicine and Pathobiology
Tier II Canada Research Chair in Computational Medicine
The University of Toronto
CIFAR AI Chair at Vector Institute
Google Scholar, Bio
Research
My goal is to develop machine learning algorithms to create a learning healthcare system, where digitized clinical and biological data are used to improve clinical care while improving our understanding of human & disease biology.
My research interests lie in the following topics:
Deep learning: Unsupervised and self-supervised learning algorithms for extracting predictive patterns from noisy, high-dimensional data.
Causal inference: Developing methods for estimating causal effects to identify good interventional policies from high-dimensional, time-varying observational data.
Reliable machine learning: Developing guardrails for the reliable deployment of machine learning models.